El Profesor

Estrategías de Aprendizaje

• Clases magistrales
• Desarrollo de ejercicios en clase
• Evaluaciones parciales y una evaluación final
• Prácticas de laboratorio, donde se utilizarán herramientas computacionales y se aplicarán conocimientos y destrezas adquiridas en otros cursos
• Lecturas de la temática a tratar, previas a las clases magistrales
• Lecturas de artículos científicos de interés para el área de procesamiento de señales e imágenes
• Desarrollo de talleres fuera de la clase
• Proyecto práctico de fin de curso

Evaluación

Bibliografía

[1] «Medical Image Analysis and Informatics».

[2] S. K. Zhou, D. Rueckert, y G. Fichtinger, Handbook of medical image computing and computer assisted intervention. en The Elsevier and MICCAI society book series. London: Academic press, 2020.

[3] W. Zhao, Technology-Enabled Motion Sensing and Activity Tracking for Rehabilitation. Institution of Engineering and Technology, 2022. doi: 10.1049/PBHE037E.

[4] S. K. Vasudevan, A. Baskar, M. Rajappa, y T. S. Murugesh, Digital Image Processing, 1.ª ed. Boca Raton: Chapman and Hall/CRC, 2023. doi: 10.1201/9781003217428.

[5] J. Valente, J. António, C. Mora, y S. Jardim, «Developments in Image Processing Using Deep Learning and Reinforcement Learning», J. Imaging, vol. 9, n.º 10, p. 207, sep. 2023, doi: 10.3390/jimaging9100207.

[6] T. T. Teoh, Convolutional Neural Networks for Medical Applications. en SpringerBriefs in Computer Science. Singapore: Springer Nature Singapore, 2023. doi: 10.1007/978-981-19-8814-1.

[7] J. S. Suri, D. L. Wilson, y S. Laxminarayan, Eds., Handbook of biomedical image analysis. en Biomedical engineering international book series. New York: Kluwer Academic/Plenum Publishers, 2005.

[8] J. S. Suri, D. L. Wilson, y S. Laxminarayan, Eds., Handbook of biomedical image analysis. en Biomedical engineering international book series. New York: Kluwer Academic/Plenum Publishers, 2005.

[9] R. Splinter y K. Najarian, «Biomedical Signal and Image Processing, Second Edition».

[10] P. Singhal, A. Verma, P. K. Srivastava, V. Ranga, y R. Kumar, Image Processing and Intelligent Computing Systems, 1.ª ed. Boca Raton: CRC Press, 2022. doi: 10.1201/9781003267782.

[11] H. Singh, Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python. Berkeley, CA: Apress, 2019. doi: 10.1007/978-1-4842-4149-3.

[12] J. L. Semmlow y B. Griffel, Biosignal and medical image processing, Third edition. Boca Raton: CRC Press, Taylor & Francis Group, CRC Press is an imprint of the Taylor & Francis Group, an Informa business, 2014.

[13] S. Saxena y S. Paul, Eds., High-performance medical image processing, First edition. Palm Bay, FL, USA, Burlington, ON, Canada: Apple Academic Press ; CRC Press, 2022.

[14] R. Raut, «Intelligent Systems for Rehabilitation Engineering».

[15] R. M. Rangayyan, Biomedical signal analysis: a case-study approach. en IEEE Press series in biomedical engineering. New York, NY: Wiley-Interscience [u.a.], 2002.

[16] R. M. Rangayyan, «Biomedical Signal Analysis».

[17] K. Rabie, C. Karthik, S. Chowdhury, y P. K. Dutta, Eds., Deep learning in medical image processing and analysis. London, United Kingdom: Institution of Engineering and Technology, 2023.

[18] C. Paunwala et al., Eds., Biomedical Signal and Image Processing with Artificial Intelligence. en EAI/Springer Innovations in Communication and Computing. Cham: Springer International Publishing, 2023. doi: 10.1007/978-3-031-15816-2.

[19] C. Paunwala et al., Eds., Biomedical Signal and Image Processing with Artificial Intelligence. en EAI/Springer Innovations in Communication and Computing. Cham: Springer International Publishing, 2023. doi: 10.1007/978-3-031-15816-2.

[20] L. Panigrahi, S. Biswal, A. K. Bhoi, A. Kalam, y P. Barsocchi, Eds., Machine Learning and AI Techniques in Interactive Medical Image Analysis: en Advances in Medical Technologies and Clinical Practice. IGI Global, 2022. doi: 10.4018/978-1-6684-4671-3.

[21] G. R. Naik y W. P. D. Santos, Biomedical Signal Processing: A Modern Approach, 1.ª ed. Boca Raton: CRC Press, 2023. doi: 10.1201/9781003201137.

[22] M. Morioka, «Artificial Intelligence, Robots, and Philosophy».

[23] L. N. McKinnis, «Fundamentals of Musculoskeletal Imaging, Fifth Edition».

[24] T. Malone, C. Hazle, y M. L. Grey, Imaging in rehabilitation. New York: McGraw-Hill Medical, 2008.

[25] X. Liu et al., «Advances in Deep Learning-Based Medical Image Analysis», Health Data Sci, vol. 2021, p. 8786793, ene. 2021, doi: 10.34133/2021/8786793.

[26] C.-P. Lim, A. Vaidya, Y.-W. Chen, T. Jain, y L. C. Jain, Eds., Artificial Intelligence and Machine Learning for Healthcare: Vol. 1: Image and Data Analytics, vol. 228. en Intelligent Systems Reference Library, vol. 228. Cham: Springer International Publishing, 2023. doi: 10.1007/978-3-031-11154-9.

[27] A. Kulkarni, A. Shivananda, y N. R. Sharma, Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models. Berkeley, CA: Apress, 2022. doi: 10.1007/978-1-4842-8273-1.

[28] F. A. Gonzalez y E. Romero, Eds., Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques. en Advances in Bioinformatics and Biomedical Engineering. IGI Global, 2010. doi: 10.4018/978-1-60566-956-4.

[29] T. M. Deserno, Ed., Biomedical Image Processing. en Biological and Medical Physics, Biomedical Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. doi: 10.1007/978-3-642-15816-2.

[30] D. Cudihins, Hands-on computer vision with Julia: build complex applications with advanced Julia packages for image processing, neural networks, and artificial intelligence. Birmingham, UK: Packt Publishing, 2018.

[31] M. Charbit, Digital signal processing with Python programming. London, UK : Hoboken, NJ: ISTE ; Wiley, 2017.

[32] M. Chappell, Principles of Medical Imaging for Engineers: From Signals to Images. Cham: Springer International Publishing, 2019. doi: 10.1007/978-3-030-30511-6.

[33] L. Cai, J. Gao, y D. Zhao, «A review of the application of deep learning in medical image classification and segmentation», Ann Transl Med, vol. 8, n.º 11, pp. 713-713, jun. 2020, doi: 10.21037/atm.2020.02.44.

[34] J. D. Bronzino, Ed., The biomedical engineering handbook, 3rd ed. en The electrical engineering handbook series. Boca Raton: CRC/Taylor & Francis, 2006.

[35] J. D. Gibson, Fourier Transforms, Filtering, Probability and Random Processes: Introduction to Communication Systems. en Synthesis Lectures on Communications. Cham: Springer International Publishing, 2023. doi: 10.1007/978-3-031-19580-8.

[36] G. R. Grimmett y D. R. Stirzaker, Probability and random processes fourth edition, 4.ª ed. NEW YORK: OXFORD UNIVERSITY PRESS, 2020.

[37] Probability and Random Processes With Applications to Signal Processing and Communications. San Diego, CA, USA: Elsevier Science & Technology Books, 2012.

[39] L. Wasserman, All of Statistics: A Concise Course in Statistical Inference. en Springer Texts in Statistics. New York, NY: Springer New York, 2004. doi: 10.1007/978-0-387-21736-9.

[40] R. C. Gonzalez y R. E. Woods, Digital image processing. New York, NY: Pearson, 2018.

[41] T. M. Apostol, Calculus. 1: One-variable calculus, with an introduction to linear algebra. New York: Wiley, 1980.

Como estamos?

1. Que es media?
2. Que es mediana?
3. Que es moda?
4. Que es la varianza?
5. Que es un histograma?
6. Que es un valor atípico?
7. Que es una variable aleatoria?
8. Que es un espacio muestral?
9. Que es un experimento aleatorio?
10. Que es ruido blanco?
11. Como se detecta el ruido blanco?